exports.create = function(req, res) {
// don't include the date, if a user specified it
delete req.body.date;
//console.log("reqqqqqqqqqqqqqq USERRRRRERRRRRRR");
//console.log(req.user);
//console.log("reqBBBBBBBBBBBBBBBBBBBBBBBBBBOOOOOOOOOOOOOOOOOOOOOODDDDDDDDDDDDDYYYYYYYYYYY")
//console.log(req.body)
//console.log("IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDDD")
var array = req.body.content.split(',');
//console.log(array);
var i = 0;
var text = "";
for (i = 0; i < 2; i++) {
text += array[i] + ",";
//console.log(math.sin(parseFloat(array[i])));
if (i === 1) {
//console.log("CCCCCCCCCCCCCCCCCCCCCOOOOOOOOOOOOOOOOSSSSSSSSSSSSSSSS");
//console.log(math.sin(parseFloat(array[i])));
text += math.cos(parseFloat(array[i])).toFixed(4);
break;
}
text += math.sin(parseFloat(array[i])).toFixed(4) + ",";
}
req.body.content = text;
//console.log(text);
//console.log(req.body);
//console.log(req.user._id)
var comment = new Comment(_.merge({
author: "558194cfe4380850581ba76b"
}, req.body));
comment.save(function(err, comment) {
if (err) {
return handleError(res, err);
}
return res.json(201, comment);
});
0
};
//統計運算
console.log(math.sum(2,1,4,3)); //總和
console.log(math.sum([[2,5],[4,3],[1,7]])); //矩陣總和
console.log(math.max(2,1,4,3)); //取最大值
console.log(math.max([[2,5],[4,3],[1,7]])); //矩陣取最大值
console.log(math.min(2,1,4,3)); //取最小值
console.log(math.min([[2,5],[4,3],[1,7]])); //矩陣取最小值
console.log(math.mean(2,1,4,3)); //取平均值
console.log(math.mean([[2,5],[6,3],[1,7]])); //矩陣取平均值
console.log(math.median(6,2,7)); //取中間數
console.log(math.median([3,-1,5,7])); //偶數時取中間哪個數的平均
console.log('---------------------------------------');
//三角函數
console.log(math.sin(0.5)); //sin(x)
console.log(math.cos(0.5)); //cos(x)
console.log(math.tan(0.5)); //tan(x)
console.log('---------------------------------------');
//tools
console.log(math.to(math.unit('2 inch'),'cm').toString()); //將英吋轉為公分
console.log(math.clone('Hello world!')); //複製
var isPositive = function(x){return x>0;} //建立一個只回傳正數的函式
console.log(math.filter([6,-2,-1,4,3],isPositive)); //過濾掉負數
math.forEach([1,2,3],function(value){console.log(value);}); //依序執行
console.log(math.sort([5,1,10])); //數字排序
console.log(math.sort(['C','A','D','B'])); //字母排序
var sortByLength = function(a,b){return a.length-b.length;}; //建立長度比較函式
console.log(math.sort(['English','Alex','GG'],sortByLength)); //使用長度排序
console.log(math.typeof(3.5)); //判斷型態
console.log(math.typeof('hello')); //判斷型態
, WIN = 1024
, frameRate = 44100
, times, signal, re, im, amplitudes
var writeValuesToFile = function(filename, x, y) {
var dataStr = ''
y.forEach(function(val, i) {
dataStr += '' + x[i] + ' ' + val + '\n'
})
fs.writeFileSync(filename, dataStr)
}
// Generate a signal cos(2PI 500 t) + cos(2PI 1500 t)
times = math.emultiply(math.range(0, WIN - 1).toMatrix(), 1 / frameRate)
signal = math.add(
math.multiply(math.cos(math.emultiply(times, 2 * math.PI * 500)), 0.6),
math.multiply(math.cos(math.emultiply(times, 2 * math.PI * 1500)), 0.35)
)
re = signal.toArray()
im = math.squeeze(math.zeros([1, WIN])).toArray()
// Compute the frequency spectrum with a FFT
fft(1, re, im)
amplitudes = math.epow(math.add(math.epow(re, 2), math.epow(im, 2)), 0.5)
amplitudes = math.emultiply(amplitudes, 2/WIN)
// Recompute the original signal by performing the inverse transform
fft(-1, re, im)
// Only positive frequencies
writeValuesToFile('signal.dat', times.toArray(), signal.toArray())
var modelF = function(x) {
return 6*x - math.cos(x)/(1+x)*(x*math.pow(x, 2) + 2) - (2-x)*(math.pow(x, 3) + 2*x - 3)
};
var p = function(x) { return -math.cos(x) / (1 + x); };